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            Abstract BackgroundProtein–protein interactions play a crucial role in almost all cellular processes. Identifying interacting proteins reveals insight into living organisms and yields novel drug targets for disease treatment. Here, we present a publicly available, automated pipeline to predict genome-wide protein–protein interactions and produce high-quality multimeric structural models. ResultsApplication of our method to the Human and Yeast genomes yield protein–protein interaction networks similar in quality to common experimental methods. We identified and modeled Human proteins likely to interact with the papain-like protease of SARS-CoV2’s non-structural protein 3. We also produced models of SARS-CoV2’s spike protein (S) interacting with myelin-oligodendrocyte glycoprotein receptor and dipeptidyl peptidase-4. ConclusionsThe presented method is capable of confidently identifying interactions while providing high-quality multimeric structural models for experimental validation. The interactome modeling pipeline is available at usegalaxy.org and usegalaxy.eu.more » « less
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            Gudukbay, Gulsum; Gunasekaran, Jashwant Raj; Feng, Yilin; Kandemir, Mahmut T.; Nekrutenko, Anton; Das, Chita R.; Medvedev, Paul; Gruning, Bjorn; Coraor, Nate; Roach, Nathan; et al (, 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW))null (Ed.)
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            Afgan, Enis; Nekrutenko, Anton; Grüning, Bjórn A; Blankenberg, Daniel; Goecks, Jeremy; Schatz, Michael C; Ostrovsky, Alexander E; Mahmoud, Alexandru; Lonie, Andrew J; Syme, Anna; et al (, Nucleic Acids Research)Abstract Galaxy is a mature, browser accessible workbench for scientific computing. It enables scientists to share, analyze and visualize their own data, with minimal technical impediments. A thriving global community continues to use, maintain and contribute to the project, with support from multiple national infrastructure providers that enable freely accessible analysis and training services. The Galaxy Training Network supports free, self-directed, virtual training with >230 integrated tutorials. Project engagement metrics have continued to grow over the last 2 years, including source code contributions, publications, software packages wrapped as tools, registered users and their daily analysis jobs, and new independent specialized servers. Key Galaxy technical developments include an improved user interface for launching large-scale analyses with many files, interactive tools for exploratory data analysis, and a complete suite of machine learning tools. Important scientific developments enabled by Galaxy include Vertebrate Genome Project (VGP) assembly workflows and global SARS-CoV-2 collaborations.more » « less
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